Parallel Computing

Prerequisite: Mathematics 4A with a grade of C or better; CS32 or CS130A.
Fundamentals of parallel programming and algorithm design to speedup machine learning and scientific computation. Topics include parallel architectures with shared memory machines and clusters, GPUs,  message-passing and thread  programming, parallel performance evaluation and optimization, parallelization of core matrix algorithms in  machine learning and scientific computing applications, and MapReduce programming for data-intensive cloud computing.